Understand the system.
Make the work count.

Getting started

ZETORA brings a defined challenge, a research budget, and verifiable evidence into one workspace. The platform saves challenges, experiments, evidence files, community preferences, and review decisions through your browser session, without registering. Example data is available in a separate view.

1. Open the platform and create or choose a published challenge.
2. Read its objective and success criteria.
3. Use Research Lab to record an experiment method and finding.
4. Upload evidence and compare the measured result with the baseline.
5. Save a review decision or export the research record.

What makes a challenge?

A useful challenge contains a title, a measurable objective, a source dataset or reference, and a reproducible way to check success.

Example

Reduce indexing time on a published dataset by at least 30%, preserving every record and checksum. The baseline, hardware conditions, and evaluation script should be agreed before work starts.

Research progress and successful completion are different. A faster candidate still needs to pass every original criterion.

Recording research

Publish a measurable challenge, then record an experiment method, finding, and optional candidate measurement. Research history is saved on the server. Failed attempts can still contribute useful findings.

Upload evidence files with a research record. ZETORA stores each file with its SHA-256 checksum, which identifies its bytes without proving the result is correct.

When the AI provider is configured, Generate AI plan saves a suggested method and evidence checklist. An AI plan does not execute code or claim a measured result. Manual experiment records remain available without AI.

Evidence before rewards

A submission includes a result summary and evidence another reviewer can reproduce. Reviews compare that evidence with the criteria defined before research began.

• Use the specified dataset and baseline.
• Publish enough information to repeat the test.
• Explain which criteria passed and which remain unmet.
• Record a review decision with a reason.

Visitors can record pending or needs-work notes without registering. Final acceptance requires a project reviewer who is different from the researcher, attached evidence, a measurement reaching the target, and every criterion marked as passed. Human review is not cryptographic proof. Dispute and payout rules must be agreed before live rewards.

Funding and token mechanics

The intended funding model separates research spending from solution rewards. Integration with Pons creator revenue and challenge-specific contracts requires validation before activation.

No fee percentages, holder payouts, or guaranteed returns are committed in this preview. Trading volume alone does not establish research progress or a successful outcome.

Launch status

ZETORA is preparing for a launch on Pons Family, on Robinhood Chain. The project’s token address, ticker, direct trading link have not been announced here. Follow @ZetoraEngine for official updates.

When launch information is available, this page will list the verified address and the corresponding Pons market. This site does not imply endorsement or partnership with Pons or Robinhood.